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- 759 creator larry-birnbaum.
- 759 type InProceedings.
- 759 label "Compare&Contrast: Using the Web to Discover Comparable Cases for News Stories".
- 759 sameAs 759.
- 759 abstract "Comparing and contrasting is an important strategy people adopt to understand new situations and create solutions to for new problems. Similar events can provide hints for problem solving, as well as larger contexts for understanding the specific circumstances of an event. Lessons from past experience can be applied, insights can be gained about the new situation from familiar examples, and trends can be discovered among similar events. As the largest knowledge base for human beings, the Web provides both an opportunity and a challenge to discover comparable cases in order to facilitate situation analysis and problem solving. In this paper, we present Compare&Contrast, a system that uses the Web to discover comparable cases for news stories, documents about similar situations but involving distinct entities. The system analyzes a news story given by the user and builds a model of the situation. With the situation model, the system dynamically discovers entities comparable to the main entity in the original story and uses these comparable entities as seeds to retrieve web pages about comparable cases. The system is domain independent, does not require any knowledge engineering efforts, and deals with the complexity of unstructured text and noise on the web in a robust way. We evaluated the system with both a systematic experiment on a collection of news articles and a user study.".
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- 759 title "Compare&Contrast: Using the Web to Discover Comparable Cases for News Stories".
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- item-1 hasContent jiahui-liu.
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- 764 creator archana-prasad.
- 764 creator indrani-medhi.
- 764 creator kentaro-toyama.
- 764 type InProceedings.
- 764 label "Optimal Audio-Visual Representations for Illiterate Users of Computers".
- 764 sameAs 764.
- 764 abstract "We present research leading toward an understanding of the optimal audio-visual representation for illustrating concepts for illiterate and semi-literate users of computers. In our user study, which to our knowledge is the first of its kind, we presented each of 13 different health symptoms to 200 illiterate subjects in one representation randomly selected among the following ten: text, static drawings, static photographs, hand-drawn animations, and video, each with and without voice annotation. The goal was to see how comprehensible these representation types were for an illiterate audience. We used a methodology for generating each of the representations tested in a way that fairly stacks one representational type against the others. Our main results are that (1) richer information is not necessarily better understood overall; (2) voice annotation generally helps in speed of comprehension, but bimodal audio-visual information can be confusing for the target population; (3) the relative value of dynamic imagery versus static imagery depends on other factors. Analysis of these statistically significant results and additional detailed results are also provided.".
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- 764 title "Optimal Audio-Visual Representations for Illiterate Users of Computers".
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- item-1 hasContent indrani-medhi.
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- 776 creator daniel-c-wolfson.
- 776 creator jean-sebastien-brunner.
- 776 creator li-ma.
- 776 creator yue-pan.
- 776 type InProceedings.
- 776 label "Explorations in the use of Semantic Web Technologies for Product Information Management".
- 776 sameAs 776.
- 776 abstract "Master data is core business entities a company uses repeatedly across many business processes and systems (such as lists or hierarchies of customers, suppliers, accounts, products, or organizational units). Product information is the most important kind of master data and product information management (PIM) is becoming critical for modern enterprises because it provides a richer business context for various applications. Existing PIM systems are less flexible and scalable for on-demand business, as well as weak to completely capture and use the semantics of master data. This paper explores how to use semantic web technologies to enhance a collaborative PIM system by simplifying modelling and representation while preserving enough dynamic flexibility. Furthermore, we build a semantic PIM system using one of the state-of-art ontology repositories and summarize encountered challenges based on our experimental results, especially on performance and scalability. We believe that our study and experiences are valuable for both semantic web community and master data management community.".
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- 776 title "Explorations in the use of Semantic Web Technologies for Product Information Management".
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- item-1 hasContent jean-sebastien-brunner.
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- 777 creator anupriya-ankolekar.
- 777 creator denny-vrandecic.
- 777 creator markus-kroetzsch.
- 777 creator thanh-tran.
- 777 type InProceedings.
- 777 label "The two cultures -- positions paper --".
- 777 sameAs 777.
- 777 abstract "There is a common perception that there are two competing visions about the future evolution of the Web: the Semantic Web and Web 2.0 visions. We believe that the technologies and core strengths of these visions are complementary, rather than in competition. In fact, both technologies need each other in order to scale beyond their own strongholds. The Semantic Web can learn from Web 2.0's focus on community and interactivity, while Web 2.0 can draw from Semantic Web infrastructure to facilitate things like mashups.<br /><br /> In order to demonstrate the complementarity of the two ideas, we outline a 'semantic' weblogs vision in this paper that enhances a Web 2.0 scenario with semantic technologies. This vision can be realized in the short-term and shows clear advantages of the Semantic Web in the open field. We discuss the challenges and highlight open issues that arise from this vision, such as caching in the presence of dynamically generated pages. As a result, we outline research questions and implementation issues that will be of high relevance in the near future and finish with some thoughts about the future web ecosystem.".
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- 777 title "The two cultures -- positions paper --".
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